The push toward sustainability is reshaping antenna manufacturing. Regulatory frameworks like the European Union’s Carbon Border Adjustment Mechanism (CBAM) will require importers of certain goods to declare embedded emissions and purchase CBAM certificates starting in 2027. The compliance phase began on 1 January 2026, and companies importing more than 50 tons of covered goods must surrender certificates by 30 September 2027 for emissions generated during 2026. Free allowances for CBAM-covered sectors will decline by 2.5 % per year in 2026 and 2027, and certificate prices will be tied to the quarterly average of EU allowance prices. These policies mean that antenna makers, particularly those sourcing metals and semiconductors from outside the EU, must account for carbon emissions in their supply chains.
Digital twins offer a pathway to meeting sustainability goals. A digital twin is a virtual representation of a physical system that updates in real time as data flows from sensors on the factory floor. Siemens’s Electronics Factory in Erlangen, Germany, recognised as a Digital Lighthouse by the World Economic Forum, demonstrates the power of combining AI, robotics and digital twins. By adopting a ‘Green-Lean-Digital’ approach, the plant increased productivity by 69 % and reduced energy consumption by 42 % over four years. The factory built an in-house semiconductor production line in just eleven months using end-to-end data analytics. This project reduced material consumption by 40 % and space requirements by 50 % while improving energy efficiency. A dedicated energy management system further reduced energy use by more than 50 %.
These efficiency gains have direct implications for the antenna industry. Antenna fabrication often involves energy-intensive processes such as high-temperature polymer curing, metal plating and clean-room lithography. Digital twins allow engineers to simulate production lines, predict energy consumption and scrap generation, and optimise process parameters before hardware is built. By integrating sensor data, digital twins can adjust equipment settings in real time to reduce waste and energy usage. AI algorithms then learn from this data to further refine process models, enabling continuous improvement.
Sustainability also extends to the materials used in antennas. The natural-fiber substrates and biodegradable plastics discussed earlier not only reduce environmental impact but also help companies comply with carbon-reduction targets. Combining such materials with digital-twin-driven process optimisation could dramatically decrease the carbon footprint of future antenna products. Furthermore, designers should explore circular economy principles, such as recycling metals from decommissioned base stations and reusing packaging materials. The CBAM and similar regulations will increasingly reward firms that document carbon reductions and penalise those that continue linear production models.
In summary, the antenna industry stands at the intersection of technological innovation and environmental responsibility. Standards such as 3GPP Release 20 and Release 21, the exploration of THz arrays, RIS deployments, satellite direct-to-cell services, AI-driven radio, advanced packaging and sustainable materials all feed into one another. Digital twins act as a nexus, allowing engineers to optimise performance while meeting stringent energy and emissions targets. By embracing this holistic approach, antenna manufacturers can deliver cutting-edge products that are both technically superior and environmentally sustainable.
